Dmitry Ulyanov
If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a few. At the same time you get to do it in a competitive context against thousands of participants where each one tries to build the most predictive algorithm. Pushing each other to the limit can result in better performance and smaller prediction errors. Being able to achieve high ranks consistently can help you accelerate your career in data science. In this course, you will learn to analyse and solve competitively such predictive modelling tasks. When you finish this class, you will: – Understand how to solve predictive modelling competitions efficiently and learn which of the skills obtained can be applicable to real–world tasks. – Learn how to preprocess the data and generate new features from various sources such as text and images. – Be taught advanced feature engineering techniques like generating mean–encodings, using aggregated statistical measures or finding nearest neighbors as a means to improve your predictions. – Be able …
Instructor Details
Courses : 1
Specification: How to Win a Data Science Competition: Learn from Top Kagglers
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52 reviews for How to Win a Data Science Competition: Learn from Top Kagglers
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 45 hours |
| Year | 2017 |
| Level | Expert |
| Language | English ... |
| Certificate | Yes |
| Quizzes | Yes |
FREE
Nikolay C –
Excellent course! Previously I had a small experience in Kaggle competitions, but this course really charged me with new superskills! 🙂
Ramil G –
This course provides some unique knowledge you can’t obtain anywhere else
Vratislav H –
It is diffifult but when you reach the end, you are glad that you were able to finish it. Because I gained a lot of knowledge and best practices. There is a lot of work but it helps you sharpen your brain. I recommend to work simultaneously on project because otherwise it will be difficult to finish it..
Stephane H –
Great course, truly invaluable information in there, also the hardest i’ve ever done, took me months and a couple hundred hours. The knowledge and experience you gain is incredible, not for the faint of heart though.
Fabrice L –
A looooot of content!!! I like the fact that it talk about broad data science topics, and doesn’t specialize into one specific domain. You gain some good tricks about pandas, EDA, modeling, feature engineering… etc The skill coverage is very wide. This is definitely advance, and challenging soemtimes, but you’ll learn a lot.
Mahboob A –
my first was week awesome!
Joseph B –
Very nice course and final project is actually challenging and a great learning experience when learner attempts to do it completely on their own without reading forums or looking at examples on Kaggle.
Cao A Q –
Terrible accent
Tirth P –
Five stars for the amount of hard work the authors have actually put in to make this course the best of all courses in the specialization. It is one of the best courses to succeed in the field of competitive data science. Has a lot of assignments and quizzes to go through in each week. I would highly recommend the course if you want to learn advanced feature engineering and EDA. Thank You!
Lun Y –
There are too many things need the learner to investigate by themselves. We are here to learn but not guess. And the condition to close the course is very hard to achieve. I’d say it is not a well designed course including contents and how they are organized.
abensaid –
very good courses makes me learn a lot practical examples
Murat O –
It is a well prepared course which includes lots of tips and trick and theoretical background to be successful.
Maksym M –
I like this course. Improve practical skills.
David A –
Learned a lot from this course. I highly recommend it.
Aman S –
Teaching style is not engaging at all. I am very confused
ashesh g m –
It was one of the best courses which I’ve done on coursera. Here, it was all practical and essential knowledge which was taught. Mentors were amazing and inspiring. A must do for any data scientist or aspiring data scientist.
S V –
Strongly recommended. The course did not seem appealing at first, but it was challenging and I learned a lot.
Frederic G –
Great ! I learned a lot with this course and a lot of things will be useful for my daily business
Pavel S –
bad practice tasks, it’s unreal to solve without excellent Mathematics background, to understand the variables in the code must to waste a lot of time, no instructions etc … i can understand maybe teachers wanted to do the same atmosphere like in competition but for what i’ll Pay money ???? i Pay money for teaching not for guessing what to do , first week is cool, others are shit, and remove the lector in glassses
Neeraj –
Great compilation of all tools of trade
Mukesh R –
A very well made course and it has lots of useful information related to field of data science. Thank you for making it available to us.
Chris M –
This was one of the better online courses I’ve taken in Machine Learning. There is so much content in this course, and I’ve learned a lot from the exercises and working on the Predicting Future Sales competition.
Daniil K –
A lot of useful info. Thank’s a lot!
Debasis S –
Amazing course! The lectures are great! Thank You
Lukas K –
One of the best course I had on Coursera so far. Really good explanation of problems you can face in DataScience competition and ability to see many useful approaches for solving the problems. The final assignment is a little bit longer, but totally worth the time.
Thiru T N B –
Excellent course! Brilliant to gain a strong understanding of applying machine learning principles.
Sunku K –
This course is very helpful. Thank you to lectures
Leonardo S –
Please you must improve either the spoken language or the legends. It is really tough to understand these russians speaking english. Besides the course could be more structured and also approach other types of competitions and hints. But overall it was useful and I really learned a few things.
mar m –
Multi–disciplinar course, a bit though but very useful and with a practical approach
Yan L –
nice
YUYU L –
Teaching the clear work flow with data science project and learned some trick method at feature engineering. In the final, playing kaggle competition was funny. But, you should take the competition as early as possible, if waited week 5 to join the competition it would be very hard.
Roman P –
Fascinating, challenging, interesting and useful
Maniar T G –
Amazing Course. Thanks!
Angel D –
Some top tips which are hard to find in other online resources
Temiloluwa A –
Couldn’t follow because the English Accent was difficult to understand.
Sylvain D –
One of my favorite courses, you learn a lot of extremely practical things !! Not so easy, need hard work.
Yury A –
thanks for this course, well done!
jagannadha R b –
One of the best course with the top kagglers sharing their experience of solving the most complex data science problems. ! Thanks to Courseera ! Jagan
Alouini M Y –
A very challenging ML course but worth all the efforts. This course contains various interesting analyses of techniques to get better at ML modelling: from mean encoding (and how to do properly) to nearest neighbors features and model stacking. This is very useful for Kaggle challenges specifically but is valuable for day–to–day data science tasks more generally.
Yotam S –
Amazing course. Teaches the theoretical aspects of ML in within a practical point of view. Enables use to improve your models by understanding the framework much better. Not recommended as first ML course, but definitely as an advanced one.
Saulo M d M –
Great course! You will learn very advanced modeling techniques that are not only useful for data competitions but also real machine learning applications.
Diego T B –
This is an awesome course! I really learned a lot from this top kagglers. I just have one recommendation. I think some sessions were very though and difficult to catch: the data leakage part and the Kappa metric. Try to make this even much easier.
Margarita C –
This course is awesome. The more effort I invested in it – the more results I got, and I feel like I haven’t reached the limit. The course is very thought–out, the tests and programming assignments are great, teachers are inspiring. I enjoyed every part of it!
Adithya N –
Fantastic! It’s the most intense course I’ve done on Coursera
Sixing H –
A very needed course in not just Kaggle competition but also machine learning. Even not for the Kaggle tips, the machine learning alone should be reason enough for taking this course. The code exercise provides excellent framework for further application in my own projects. I hope there are more such courses in coursera.
Diego S d B –
Excellent. One of the best courses I’ve ever done! I hope the other courses on the specialization are as awesome as this one. Unique content!
HA –
Lots of useful information, but far from what you need to win a data science competition. So i suggest the title be changed to “Basics to start learning how to compete in a Kaggle competition.– Learn by PAST top Competitors” . As they will not help you at all in current competitions, only what they have done in the past, which is of public knowledge already.
Jair G –
Very dense course. More than the eye meets.
Ronak K –
Very good course for intermediate to the advanced level group. It covers various number of models and practical approach which can be used in Competitions in the Kaggle and also in a real–world problem.
Luka N –
The best course I’ve ever taken 🙂
Manuel M B –
Si bien los instructores tienen mucha experiencia en Kaggle, no me resulto muy util a la hora de aprender Data science para un entorno empresarial y por proyectos. Si tu objetivo es dedicarte a estas competencias te lo recomiendo, pero como parte de una especializacion en ciencia de datos, No.
MHD K M –
amazing lecturers